Job-Nr. 68114678

Software Engineer, ML Ops and Platform (m/f/d)

Tools for Humanity GmbH vor 1 Wochen

Vollzeit

StandortMünchen, Bayern

Design, build, and operate reliable, observable infrastructure for training, evaluation, telemetry ingestion, and deployment.
Maintain CI/CD workflows and automated pipelines.
Edge‑aware rollout services with staged deployment, A/B experimentation and instant rollback across Orbs, Orb Mini and Mobile Apps.
Develop secure APIs and backend services that expose governed datasets and model artefacts at scale.
Implement automated checks, drift detection, and alerting for real-time model monitoring.
Champion best practices in data lineage, reproducibility, privacy‑by‑design, security and secure edge delivery.
Collaborate across ML research, product, and firmware teams to streamline delivery and feedback loops.

5+ years building ML infrastructure, data platforms, or production ML systems at scale.
Track record of delivering platforms and CI/CD pipelines used daily by ML or data teams.
Hands-on experience running large-scale training on multi-tenant GPU clusters to maximize throughput and reliability.
You’ve built versioned dataset & lineage systems with slice-level provenance and governed access, making every model reproducible to the exact data, features, code, and config used.
Deep understanding of containerisation (Docker) and orchestration (Kubernetes/EKS) plus Infrastructure‑as‑Code (Terraform/CDK/Cloudformation).
Strong backend engineering skills in Python and/or Go; you value clean, maintainable code.
Deep understanding of modern CI/CD, model packaging, and observability practices.
Comfortable operating production systems, defining SLAs, and handling rollout or incident workflows.
Comfortable using modern Agentic AI development

Über den Arbeitgeber

Tools for Humanity GmbH

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